Software Open Access

XML NLP Pipeline

Maus, David

The XML NLP Pipeline is a Java command line application that integrates the Stanford CoreNLP pipeline (Manning et al. 2014) in an XML-based processing pipeline. It uses a simplified version of the Separated Markup API for XML (SMAX) by Nico Verwer (Verwer 2020) to patch the annotated tokens back to the XML document, preserving all previous annotations.

Bibliography

Imsieke, Gerrit. 2018. “Tokenized-to-Tree: An XProc/XSLT Library For Patching Back Tokenization/Analysis Results Into Marked-up Text.” In XML Prague 2018 Conference Proceedings, 229–45. Prague, Czech Republic.

Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. “The Stanford CoreNLP Natural Language Processing Toolkit.” In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 55–60. http://www.aclweb.org/anthology/P/P14/P14-5010.

Verwer, Nico. “Plain Text Processingin Structured Documents.” In Proceedings of Declarative Amsterdam 2020. CWI, Amsterdam: John Benjamins, 2020. https://doi.org/10.1075/da.2020.verwer.plain-text-processing.

Files (42.8 kB)
Name Size
xnlpipe-1.2.1.zip
md5:928002b0c343e7c65e2061cca2396d11 		42.8 kB Download
  • Imsieke, Gerrit. 2018. "Tokenized-to-Tree: An XProc/XSLT Library For Patching Back Tokenization/Analysis Results Into Marked-up Text." In XML Prague 2018 Conference Proceedings, 229–45. Prague, Czech Republic.
  • Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. "The Stanford CoreNLP Natural Language Processing Toolkit." In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 55–60.
  • Verwer, Nico. "Plain Text Processingin Structured Documents." In Proceedings of Declarative Amsterdam 2020. CWI, Amsterdam: John Benjamins, 2020
Publication date:
July 23, 2021
DOI:
10.25592/uhhfdm.9443

DOI Badge

Markdown 

[![DOI](https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.9443.svg)](https://doi.org/10.25592/uhhfdm.9443)

reStructedText 

.. image:: https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.9443.svg
   :target: https://doi.org/10.25592/uhhfdm.9443

HTML 

<a href="https://doi.org/10.25592/uhhfdm.9443"><img src="https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.9443.svg" alt="DOI"></a>

Image URL 

https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.9443.svg

Target URL 

https://doi.org/10.25592/uhhfdm.9443

Keyword(s):
Java Dehmel Digital XML NLP
Related identifiers:
Cites:
10.1075/da.2020.verwer.plain-text-processing, 10.3115/v1/P14-5010
Communities:
License (for files):
GNU General Public License v3.0 or later

Versions

Version 1.2.1 10.25592/uhhfdm.9443 Jul 23, 2021
Version 1.2 10.25592/uhhfdm.9356 Jul 20, 2021
Version 1.1 10.25592/uhhfdm.9211 Jun 22, 2021
Version 1.0 10.25592/uhhfdm.8965 Mar 20, 2021
Cite all versions? You can cite all versions by using the DOI 10.25592/uhhfdm.8964. This DOI represents all versions, and will always resolve to the latest one.

Cite record as

Export